RX 7600 XT 16GBBudget pick
16 GB VRAM (+8)288 GB/s (+64)
C
Raises estimated decode speed by about 26%.42.1 tok/s decode
Raises estimated decode speed by about 26%.
Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
OpenChat 7B needs ~7.9 GB VRAM. Radeon Pro W7500 8GB has 8.0 GB. With Q4_K_M quantization, expect ~33 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs with offload
Decode
33.3 tok/s
TTFT
5819 ms
Safe context
8K
Memory
7.9 GB / 8.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Tight fit | 33.3 tok/s | 3174 ms | 8K |
| Coding | C | Runs with offload | 33.3 tok/s | 5819 ms | 8K |
| Agentic Coding | F | Too heavy | 16.0 tok/s | 17583 ms | 8K |
| Reasoning | C | Runs with offload | 33.3 tok/s | 6877 ms | 8K |
| RAG | F | Too heavy | 16.0 tok/s | 21979 ms | 8K |
How OpenChat 7B (7B params) fits at each quantization level on Radeon Pro W7500 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B55 |
Q3_K_S | 3 | 3.4 GB | Low | B56 |
NVFP4 | 4 |
Copy-paste commands to run OpenChat 7B on your machine.
Run
ollama run openchatUpgrade options
Raises estimated decode speed by about 26%.
Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
Raises estimated decode speed by about 53%.
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
Raises estimated decode speed by about 96%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Yes, Radeon Pro W7500 8GB can run OpenChat 7B with a C grade (Runs with offload). Expected decode speed: 33.3 tok/s.
OpenChat 7B (7B parameters) requires approximately 7.9 GB of memory with Q4_K_M quantization.
The recommended quantization for OpenChat 7B is Q4_K_M, which balances quality and memory efficiency.
On Radeon Pro W7500 8GB, OpenChat 7B achieves approximately 33.3 tokens per second decode speed with a time-to-first-token of 5819ms using Q4_K_M quantization.
For coding workloads, OpenChat 7B on Radeon Pro W7500 8GB receives a C grade with 33.3 tok/s and 8K context.
On Radeon Pro W7500 8GB, OpenChat 7B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/openchat-7b-on-radeon-pro-w7500-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| B55 |
Q4_K_M | 4 | 4.3 GB | Medium | B55 |
Q5_K_MBest for your GPU | 5 | 5.0 GB | High | C55 |
Q6_K | 6 | 5.7 GB | High | F0 |
Q8_0 | 8 | 7.5 GB | Very High | F0 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.